metadata
base_model:
- KaraKaraWitch/SteyrCannon-Qwen2.5-72b
- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- ZeusLabs/Chronos-Platinum-72B
- m8than/banana-2-b-72b
library_name: transformers
tags:
- mergekit
- merge
Matsutei-Qwen2.5-72b
This is a merge of pre-trained language models created using mergekit.
SteyrCannon had a weird vibe issue when it comes to world book lore info. So I've been falling back to my EurobeatVARemix merge. This merge should address that inital issue but I think there's other quirks to this one.
Quants & Hosts
Merge Details
Merge Method
This model was merged using the TIES merge method using EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- KaraKaraWitch/SteyrCannon-Qwen2.5-72b
- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- ZeusLabs/Chronos-Platinum-72B
- EVAm8than/banana-2-b-72b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: KaraKaraWitch/SteyrCannon-Qwen2.5-72b
parameters:
density: 0.25
weight: 0.5
- model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
parameters:
density: 0.5
weight: 0.75
- model: ZeusLabs/Chronos-Platinum-72B
parameters:
density: 0.5
weight: 0.5
- model: m8than/banana-2-b-72b
parameters:
density: 0.65
weight: 0.40
merge_method: ties
base_model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
parameters:
normalize: true
dtype: bfloat16